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- Tasks: Join us to optimise robotics infrastructure and ensure seamless deployment of cutting-edge autonomous systems.
- Company: Kinisi is revolutionising robotics for real-world applications, from warehouses to restaurants.
- Benefits: Enjoy flexible work options, innovative projects, and a collaborative team environment.
- Why this job: Be part of a pioneering team that shapes the future of robotics and technology.
- Qualifications: 5+ years in DevOps with skills in Git, Linux, and modern DevOps tools required.
- Other info: Experience with robotics and cloud infrastructure will make you stand out!
The predicted salary is between 48000 - 72000 £ per year.
At Kinisi, we’re building the next generation of intelligent, autonomous robots designed to operate in complex real-world environments—from warehouses to restaurants to retail spaces. We’re looking for a DevOps Engineer who’s excited to bridge software and infrastructure, and who thrives in the unique challenges of deploying robotics systems into the real world. This role is critical in enabling our autonomy, perception, and controls teams to deliver reliable, scalable systems to both lab and field environments. You’ll build the tooling and infrastructure that ensures our robots can be developed, tested, deployed, and monitored—anytime, anywhere.
Position Responsibilities:- Optimize on-robot compute infrastructure in collaboration with robotics and perception teams to ensure high performance, reliability, and maintainability in the field.
- Design, implement, and maintain CI/CD pipelines for seamless deployment and testing of autonomy software, both in simulation and on physical hardware.
- Develop hybrid cloud–edge infrastructure to support scalable data processing, storage, and remote fleet operations—including secure OTA updates and software version management.
- Monitor and troubleshoot system performance, both in lab and field deployments, with rapid resolution of issues to maintain operational uptime.
- Implement observability and logging frameworks on-robot and in the cloud, with defined retention policies and offload mechanisms for log analysis.
- Build tools, scripts, and dashboards that empower developers across software, perception, and controls teams to iterate quickly and deploy confidently.
- Ensure security and integrity of deployments, including best practices for secure boot, network authentication, and encrypted data handling.
- Support hardware-in-the-loop (HIL) and simulation-in-the-loop testing pipelines to validate software before field deployment.
- Configure, deploy, and update software directly on embedded hardware in the field, including over-the-air (OTA) update systems and device-level version control.
- 5+ years of experience in a DevOps, infrastructure, or site reliability role.
- Proficiency in Git and modern DevOps tools (CI/CD systems, Docker, etc.).
- Experience with Linux and embedded Linux systems (e.g., systemd, RT-Linux), including hardware-level debugging and deployment to edge devices beyond traditional cloud environments.
- Familiarity with debugging/profiling tools such as GDB, Wireshark, and Grafana.
- Strong understanding of container orchestration, deployment automation, and software rollback/versioning strategies.
- Ability to implement and maintain on-robot services (e.g., systemctl, docker-compose).
- Experience designing cloud-to-edge pipelines for managing robots or edge devices in the field.
- Experience with DNS, networking, and performance optimization for real-time systems.
- Strong documentation and cross-team communication skills.
- Experience with ROS/ROS2 and DDS-based communication systems.
- Hands-on experience with robotics systems, autonomous vehicles, or IoT edge devices.
- Familiarity with remote fleet management and OTA update systems.
- Experience with hardware-in-the-loop (HIL) testing or simulation tools (e.g., Gazebo, Webots).
- Knowledge of cloud infrastructure providers (AWS, GCP, Azure) and infrastructure-as-code tools (Terraform, Ansible, etc.).
- Familiarity with observability platforms (e.g., ELK, Prometheus/Grafana) tailored for robotic or embedded systems.
Locations
DevOps Engineer – Robotics Infrastructure employer: Kinisi Robotics
Contact Detail:
Kinisi Robotics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DevOps Engineer – Robotics Infrastructure
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as ROS/ROS2 and Docker. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Engage with the robotics community online. Join forums, attend webinars, or participate in hackathons related to robotics and DevOps. This not only enhances your knowledge but also helps you network with professionals who might refer you to opportunities at Kinisi.
✨Tip Number 3
Prepare to discuss real-world scenarios where you've optimised infrastructure or implemented CI/CD pipelines. Be ready to share specific examples of how you’ve tackled challenges in deploying systems, especially in edge environments.
✨Tip Number 4
Showcase your problem-solving skills by discussing any troubleshooting experiences you've had with system performance in lab or field deployments. Highlighting your ability to maintain operational uptime will resonate well with the hiring team.
We think you need these skills to ace DevOps Engineer – Robotics Infrastructure
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in DevOps, infrastructure, and robotics. Focus on specific projects or roles that demonstrate your skills in CI/CD pipelines, cloud-to-edge infrastructure, and embedded systems.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for robotics and your understanding of the challenges faced in deploying autonomous systems. Mention specific technologies and tools you have worked with that align with the job description.
Showcase Relevant Skills: In your application, emphasise your proficiency in Git, Docker, and Linux systems. Provide examples of how you've implemented solutions in previous roles that relate to the responsibilities listed in the job description.
Highlight Team Collaboration: Since this role involves working closely with various teams, include examples of successful cross-team collaborations in your application. This could be through projects where you supported software, perception, and controls teams.
How to prepare for a job interview at Kinisi Robotics
✨Showcase Your Technical Skills
Be prepared to discuss your experience with DevOps tools and practices, especially CI/CD systems, Docker, and Linux. Highlight specific projects where you've optimised infrastructure or implemented automation, as this will demonstrate your hands-on expertise.
✨Understand the Robotics Context
Familiarise yourself with the basics of robotics and how DevOps plays a role in deploying robotic systems. Being able to speak about the unique challenges faced in this field will show your enthusiasm and understanding of the position.
✨Prepare for Problem-Solving Questions
Expect to tackle scenario-based questions that assess your troubleshooting skills. Think of examples from your past experiences where you resolved performance issues or implemented observability frameworks, as these are crucial for the role.
✨Communicate Clearly and Collaboratively
Since strong documentation and cross-team communication skills are essential, practice articulating your thoughts clearly. Be ready to discuss how you've collaborated with different teams in previous roles, particularly in high-pressure situations.
